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Received:August 10, 2023 Published Online:December 20, 2023
Received:August 10, 2023 Published Online:December 20, 2023
中文摘要: 目的 探讨使用临床常用的血常规指标构建对老年社区获得性肺炎（CAP）有较好预测价值的列线图模型。
方法回顾性纳入2022年1月至12月南京市中西医结合医院88例老年CAP患者及80例健康对照人群，采用单因素及多因素logistic回归分析筛选老年CAP发生的独立危险因素并构建列线图模型。采用受试者工作特征（ROC）曲线评估列线图模型的诊断效能。
结果 白细胞计数、红细胞计数、淋巴细胞比率、单核细胞比率、平均血小板体积及血小板分布宽度为老年CAP发生的独立危险因素，并基于此构建列线图模型，其ROC曲线下面积为0.869（95%CI：0.808~0.916）。
结论 本研究基于临床血常规指标构建的列线图模型可较为准确的筛选出老年CAP患者，可对老年患者进行CAP风险评估，指导临床精准管理。
中文关键词: 社区获得性肺炎，老年 血常规 列线图 诊断模型
Abstract:Objective To explore the construction of a nomogram model with good predictive value for community acquired pneumonia (CAP) in elderly patients using commonly used blood routine indicators in clinical practice.
Methods A total of 88 elderly CAP patients and 80 healthy controls in Nanjing Integrated Traditional Chinese and Western Medicine Hospital from January to December 2022 were enrolled retrospectively. Univariate and multivariate logistic regression was used to screen the independent risk factors of CAP in the elderly, and nomogram model was constructed. ROC curve was used to evaluate the diagnostic efficiency of nomogram model.
Results White blood cell count, red blood cell count, lymphocyte ratio, monocyte ratio, mean platelet volume and platelet distribution width were independent risk factors for CAP in the elderly. Based on this, nomogram model was constructed, and the area under the ROC curve was 0.869 (95%CI: 0.808-0.916).
Conclusion The nomogram model constructed based on the clinical blood routine indicators in this study can accurately screen the elderly patients with CAP, assess the risk of CAP for elderly patients, and guide the clinical precise management.
文章编号： 中图分类号：R563.1 文献标志码：B
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